Evidence map›Paper›PMID 29746339›Full record

ArticleJournal of pediatric gastroenterology and nutrition2018

Comorbidities in Childhood Celiac Disease: A Phenome Wide Association Study Using the Electronic Health Record.

Ariana Prinzbach, Soheil Moosavinasab, Steve Rust, Brendan Boyle, John A Barnard, Yungui Huang, Simon Lin

Abstract read
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In one paragraph

Article in Journal of pediatric gastroenterology and nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ariana PrinzbachThe Ohio State University College of Medicine, The Ohio State University.
Soheil MoosavinasabResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital.
Steve RustResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital.
Brendan BoyleThe Ohio State University College of Medicine, The Ohio State University.
John A BarnardThe Ohio State University College of Medicine, The Ohio State University.
Yungui HuangResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital.
Simon LinThe Ohio State University College of Medicine, The Ohio State University.
The Ohio State University · USNationwide Children's Hospital · US

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
NCATS NIH HHS UL1 TR001070
6 · The paper itself

Abstract

objectivesCeliac disease (CD) is associated with a variety of extraintestinal autoimmune and inflammatory findings that manifest clinically as symptoms and comorbidities. Understanding these comorbidities may improve identification of the disease and prevent sequelae. In this study, we use an unbiased electronic health record (EHR)-based Phenome Wide Association Study (PheWAS) method to confirm known comorbidities, discover novel associations and enhance characterization of the clinical presentation of CD in children.

methodsData were extracted from the Nationwide Children's Hospital EHR. Confirmed CD cases (n = 433) were matched with 4330 randomly selected controls. Utilizing an EHR-based PheWAS method to analyze associations of phenotypes with CD, we conducted an unbiased screening of all International Classification of Diseases, 10th revision diagnostic codes and examined significance by performing Fisher's Exact tests. We further tested for the association between CD and 14 previously identified comorbidities in an a priori fashion.

resultsWe found 45 International Classification of Diseases, 10th revision codes significantly associated with CD. Thirteen are known comorbidities and nine are expected symptoms of CD, thus validating our study methods. Further investigation found symptoms that characterized CD clinically and discovered a significant association between eosinophilic disorders of the esophagus and CD. Of 14 previously identified comorbidities, 8 were significantly associated with CD.

conclusionsAn EHR-based PheWAS method is a powerful, efficient, and cost-effective method to screen for possible CD comorbidities and validate associations at the population level. Ours is the first PheWAS of CD to confirm a significant association of eosinophilic disorders of the esophagus with CD in a controlled study.

Indexed as

AdolescentCase-Control StudiesCeliac DiseaseChildChild, PreschoolComorbidityElectronic Health RecordsEosinophilic EsophagitisFemaleGenome-Wide Association StudyHumansInfantInfant, NewbornInternational Classification of DiseasesMalePhenotype

Identifiers

PMID29746339
OpenAlexW2799416602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.